Can Machine Learning Predict Baby Life Stages to Boost E‑Commerce Recommendations?
This paper introduces a dynamic fusion algorithm that leverages multi‑dimensional logistic regression and rich consumer behavior features to infer infants' life stages from parental e‑commerce actions, demonstrating significant accuracy improvements over memory‑less baselines across multiple months of Taobao data.
